Course: Discrete Structures- Reviewed and graded handwritten assignments and tests with impartiality and fairness and held weekly tutorials to ensure that every student had a better grasp of course content and concepts.- Conducted one-on-one meetings with students to address any doubts or to help them understand the topics more easily using various techniques and strategies.

Course: Computer Graphics- Reviewed and graded student assignments utilizing Node.js and Three.js.- Provided lab tutoring to ensure that every student could complete practical computer assignments without issues and were well prepared for home assignments and the final project.- Conducted class meetings to address any doubts regarding concepts, assignments, and the project.

Course: AI for Cybersecurity - Evaluated assignments as a part of the assessment procedure, maintaining uniformity and impartiality.- Delivered clear and perceptive feedback on assignments and projects, fostering enhanced student performance, leading to improved grades and a deeper comprehension of the course content.

• Led the design and deployment of the DASH housing analytics platform, leveraging Microsoft Azure for scalable and resilient infrastructure, reducing homelessness by 25% and increasing affordable housing by 15%.• Built complex data processing pipelines using Pandas and PySpark, significantly reducing manual intervention and saving over 100 hours weekly in data analysis.• Utilized Python scripts and DBForge to generate realistic synthetic data based on the constraints defined in the database.• Deployed Azure ML Studio to run machine learning experiments, integrated with SSMS for database management, and visualized results with Power BI and Plotly, shaping strategic municipal decisions.• Applied data wrangling and data cleaning techniques in Python to prepare large datasets, ensuring the accuracy of housing-related insights for policy recommendations.

Course: Information Retrieval and Internet- Reviewed and graded programming assignments in Python and Linux for ‘Information Retrieval and Internet’ course, contributing to the assessment processing and ensuring consistency and fairness.- Provided well-defined and insightful feedback on tests and assignments to improve student performance, resulting in higher grades and a better understanding of the course material.

• Built a robust data processing pipeline using Python, Pandas, and NumPy for over 10K client records, ensuring data accuracy and efficiency in a Google Cloud Platform (GCP) environment.• Designed and deployed predictive analytics models using Scikit-learn and TensorFlow, achieving a 20% reduction in customer churn and a 15% improvement in retention rates through optimized customer segmentation.• Leveraged SQL for deep data querying, improving the company’s ability to analyze customer behavior and enabling more precise K-means clustering and PCA for customer segmentation.• Created actionable visualizations with Tableau, Seaborn, and Matplotlib, allowing stakeholders to easily interpret complex data trends and drive strategic decision-making.• Collaborated with cross-functional teams to deliver projects on time, employing JIRA for effective project tracking.

• Developed an Android mobile application using Java and Android Studio that employed QR code scanning for quick equipment access, improving operational efficiency by 30%.• Integrated Firebase for real-time data synchronization across different platforms, ensuring seamless data updates and reducing downtime during peak operational hours.• Employed containerization with Docker to ensure uniform development environments, minimizing discrepancies between local and production setups, and speeding up deployment processes.• Leveraged Firebase to manage the backend database, ensuring secure data handling and reducing server load through optimized queries.• Followed agile methodologies to manage project timelines effectively.